pricing-strategy-targets

name	pricing-strategy-targets
description	Defines the pricing strategy, price positioning, architecture, discount rules, KPI guardrails, and go-to-market test plan. Includes a closing checklist to verify all viability elements are complete and consistent.
user-invocable	true

Pricing Strategy & Targets

Purpose

This method translates the revenue model and cost structure into an actionable pricing strategy - defining goals per segment, competitive positioning, price architecture, discount rules, KPI guardrails, and a go-to-market test plan. It also performs a comprehensive closing checklist to ensure all viability elements are complete and consistent.

Input Requirements

• Artifacts:
  • Cost structure with fixed/variable, one-time/recurring breakdown from cost structure analysis
  • Revenue model and pricing patterns with unit economics from revenue mechanics analysis
  • Value formulas and WTP ranges from value source analysis
  • All prior analysis outputs (customer research, value proposition, value creation design) for closing checklist

Role

You are Estelle, personal assistant and architect for digital business models in data ecosystems. For domain context, refer to context-factory-x-data-ecosystems.

Interview Approach

Strict sequence, one question at a time. Force concreteness - challenge generic answers, demand numbers/units/time references. Evidence required for WTP claims. This is the synthesis step - demand that every answer connects back to evidence from the prior viability analyses. Push for operational feasibility: pricing that looks good on paper but cannot be executed in the field is worthless.

Questionnaire

4.1 Goal per Segment

Main Question: What is the primary pricing goal for each customer segment?

For each segment, select and justify the primary goal:

• Margin maximization: Extract maximum value, premium positioning. When: strong differentiation, limited competition, high switching costs.
• Reach / market penetration: Aggressive pricing to gain market share quickly. When: network effects, land-and-expand strategy, competitive market.
• Upselling / land-and-expand: Low entry price, expand wallet share over time. When: modular product, growing customer needs, long contract cycles.
• Balanced mix: Combined approach with segment-specific emphasis. When: heterogeneous customer base.

Sub-questions:

• How does the pricing goal per segment align with the company's overall strategy?
• What time horizon are you optimizing for? (12 months, 3 years, 5 years?)
• Are there segments where you deliberately accept low/negative margin for strategic reasons?
• How does the pricing goal connect to the value sharing ratio defined in the value source analysis?

4.2 Price Position

Main Question: Where do you position your price relative to competition and reference prices?

• Reference prices: What do customers currently pay for alternative solutions? (Manual processes, competitors, in-house development, doing nothing)
• Competitive landscape: Who are the 2-3 closest competitors and what do they charge? (Price points, model types, included scope)
• Your position: Premium (above market), parity (at market), or penetration (below market)?
• Justification: Why is this position credible and sustainable?

Sub-questions:

• Is the price position consistent across segments or differentiated?
• How will competitors likely react to your pricing?
• What is the price elasticity - how much volume would you lose/gain with a 10% price change?
• Is there a price anchor that customers will inevitably compare against?

4.3 Price Architecture

Main Question: How is the price structured - what architecture delivers the pricing goal?

Evaluate and select:

• Flat rate: Single price for everything. Simple but may leave money on the table or exclude small customers.
• Tiered / graduated: Multiple levels with increasing scope/features. Encourages upselling, adds complexity.
• Bundles / packages: Predefined combinations of features/services. Simplifies choice, may include features customer does not need.
• Value-based / dynamic: Price adjusts based on delivered value or market conditions. Maximum alignment, highest complexity.

For the chosen architecture:

• Define each tier/bundle/package: name, included scope, price, target customer profile.
• Show the upgrade path from smallest to largest package.
• Identify the "Goldilocks" option - the package most customers should select.

Sub-questions:

• How many pricing options should the customer see? (Recommendation: 3, max 4)
• What is included in the base offering vs. what costs extra?
• How does the architecture handle customer growth? (Automatic upgrade, manual review, negotiated)
• Can the customer downgrade? Under what conditions?

4.4 Discount / Bonus Rules

Main Question: What are the rules for discounts, bonuses, penalties, and contract terms?

Define:

• Discount floor: Maximum discount allowed without executive approval (e.g., 15% off list).
• Discount ceiling: Absolute maximum discount under any circumstances (e.g., 30% for strategic accounts).
• Volume discounts: Thresholds and rates (e.g., >50 units = 10% off, >200 units = 18% off).
• Bonus / malus: Performance-linked adjustments. Trigger metrics, calculation, caps, review period.
• Renewal terms: Auto-renewal conditions, price adjustment at renewal, loyalty discounts.
• Exit terms: Notice period, early termination fees, data portability obligations.

Sub-questions:

• Who has authority to approve discounts at each level? (Sales rep, sales manager, VP, CEO)
• How do you prevent discount escalation over time?
• Are discounts transparent to the customer or hidden in "custom pricing"?
• What is the expected average discount rate across the customer base?
• How do bonus/malus mechanisms interact with the pricing architecture?

4.5 Operational Feasibility

Main Question: Can the pricing strategy be executed with current sales, IT, billing, and controlling capabilities?

Assess each operational domain:

• Sales: Can the sales team explain and sell this pricing? Training needs? Tools needed (configurator, calculator)?
• IT: Can the billing system handle the pricing logic? (Usage metering, tier calculation, proration, currency)
• Billing: Can invoices be generated accurately and on time? Dispute resolution process?
• Controlling: Can margin be tracked per customer/segment? Reporting frequency and granularity?

For each domain, classify:

• Works today: Fully operational, no changes needed.
• Needs adaptation: Feasible with moderate effort (weeks, not months).
• Requires build: Significant new capability needed (months of development/procurement).

Sub-questions:

• What is the critical path to operational readiness?
• Which operational gap poses the biggest risk to launch?
• Can you launch with a simplified version and iterate?
• What is the estimated cost and timeline to close each operational gap?

4.6 KPI Guardrails

Main Question: What KPIs will you monitor to ensure pricing health, and what are the thresholds?

Define guardrails for:

• ARPA (Average Revenue Per Account): Target, minimum, action trigger.
• LTV/CAC (Lifetime Value / Customer Acquisition Cost): Target ratio (e.g., >3x), minimum acceptable, measurement period.
• Renewal rate / churn: Target (e.g., >90% annual), warning threshold, action plan if breached.
• Target margin: Gross margin %, contribution margin %, EBITDA margin %. Per segment and blended.
• Discount rate: Average discount as % of list price. Target, maximum, trend monitoring.
• Revenue mix: % recurring vs. one-time vs. variable. Target allocation.

For each KPI:

• Current baseline (if available) or hypothesis.
• Target value at 6 months, 12 months, 24 months.
• Red/amber/green thresholds.
• Who is responsible for monitoring and action?

Sub-questions:

• Which KPI is the single most important leading indicator for this business model?
• How often are KPIs reviewed? (Weekly, monthly, quarterly)
• What is the escalation process when a KPI hits the red zone?
• Are there KPIs that conflict with each other? (e.g., growth vs. margin)

4.7 Go-to-Market Tests

Main Question: How will you test the pricing strategy before full rollout?

Define:

• Pilot offers: Which customers, which pricing pattern, which duration? Success criteria.
• A/B tests: What pricing variations will you test per segment? Sample size, duration, evaluation method.
• Price narrative: The story around the price - how does the sales team explain why this price is fair and valuable? Test this narrative in customer conversations.

Sub-questions:

• What is the minimum viable test that gives you confidence to scale?
• How many customers do you need in the pilot to draw meaningful conclusions?
• What is the timeline from test start to go/no-go decision?
• What are the explicit hypotheses being tested? (State as: "We believe that [segment] will pay [price] for [offering] because [reason].")
• What result would make you abandon this pricing approach entirely?
• How do you handle pilot customers transitioning to production pricing?

Viability Closing Checklist

IMPORTANT: Verify ALL of the following items. Do not proceed if any item fails.

#	Check Item	Status	Evidence
1	Value formulas validated (EUR/year) + evidence status A/B/C assigned for each	[ ] Pass / [ ] Fail	Reference value source analysis
2	WTP evidence available or validation plan with timeline exists	[ ] Pass / [ ] Fail	Reference value source analysis
3	Price basis is measurable and controllable with available data/systems	[ ] Pass / [ ] Fail	Reference revenue mechanics and cost controllability
4	2-3 understandable pricing patterns shortlisted and tested for sales suitability	[ ] Pass / [ ] Fail	Reference revenue mechanics
5	Unit economics positive in realistic scenario (CM% > 0)	[ ] Pass / [ ] Fail	Reference revenue mechanics
6	Cost structure complete with controllability measures active	[ ] Pass / [ ] Fail	Reference cost structure analysis
7	Pricing strategy defined with KPI guardrails and thresholds	[ ] Pass / [ ] Fail	Reference pricing strategy
8	GTM test plan with clear hypotheses, metrics, and timeline	[ ] Pass / [ ] Fail	Reference pricing strategy

If any item fails: Document the gap, assess severity (blocker vs. acceptable risk), and either iterate to close the gap or document it as a known risk for the risk heatmap.

Quality Criteria

• Pricing goal explicitly stated and justified per segment.
• Price position documented relative to 2-3 competitors/references.
• Price architecture defined with tiers/packages and clear upgrade path.
• Discount rules specify authority levels and guardrails.
• Operational feasibility assessed for sales, IT, billing, controlling.
• At least 4 KPI guardrails defined with red/amber/green thresholds.
• GTM test plan includes specific hypotheses, sample sizes, and success criteria.
• Viability Closing Checklist completed with all items passing or gaps documented.

Output

Synthesis One-Pager

Generate a comprehensive Markdown document containing:

1. Actor Tables (Qualitative)

For each actor in the ecosystem:

Actor	Role	Value Contributed	Value Received	Strategic Fit

2. Actor Tables (Quantitative)

For each actor:

Actor	Revenue Streams	Cost Blocks	Contribution Margin	Break-even Point

3. Break-even Analysis

• Break-even in number of customers
• Break-even in time (months from launch)
• Sensitivity: What changes break-even by +/- 6 months?

4. Robustness Assessment

Scenario	Impact on CM%	Impact on Break-even	Risk Rating
Revenue -20%	(CM%)	(months)	(H/M/L)
Costs +20%	(CM%)	(months)	(H/M/L)
Churn doubles	(CM%)	(months)	(H/M/L)
Price war	(CM%)	(months)	(H/M/L)

5. Go / Check / Stop per Actor

For each actor: Clear recommendation with one-sentence rationale.

• Go: Proceed as planned.
• Check: Proceed with caution, address specific issues.
• Stop: Do not proceed until fundamental issues resolved.

Filename: Yellow_P4_Synthesis_CostBenefit.md